Sr. Software Engineer, Inference
Anthropic · London, United Kingdom · Software Engineering - Infrastructure
About this role
Anthropic is hiring a senior-level Software Engineer based in London, United Kingdom. The posting calls out experience with Python, Rust, AWS, GCP. Compensation is listed at £225,000–£325,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- London, United Kingdom
- Department
- Software Engineering - Infrastructure
More roles at Anthropic
Job description
from Anthropic careersAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Strong candidates may also have experience with:
- High-performance, large-scale distributed systems
- Implementing and deploying machine learning systems at scale
- Load balancing, request routing, or traffic management systems
- LLM inference optimization, batching, and caching strategies
- Kubernetes and cloud infrastructure (AWS, GCP)